Alternatives and similar repositories for deeponet-fno

Users that are interested in deeponet-fno are comparing it to the libraries listed below

• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆354Updated 2 years ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆329Updated 11 months ago
• neuraloperator / physics_informed
  ☆470Updated 3 months ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆236Updated 3 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆214Updated 3 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆167Updated last year
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆265Updated last month
• lu-group / pinn-sampling
  Non-adaptive and residual-based adaptive sampling for PINNs
  ☆82Updated 2 years ago
• AdityaLab / pinnsformer
  ☆138Updated 8 months ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆201Updated 2 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆316Updated last year
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆283Updated last year
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆150Updated last year
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆152Updated last year
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆145Updated 3 years ago
• Raocp / PINN-elastodynamics
  physics-informed neural network for elastodynamics problem
  ☆143Updated 3 years ago
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆675Updated 3 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆137Updated 3 years ago
• yizheng-wang / Research-on-Solving-Partial-Differential-Equations-of-Solid-Mechanics-Based-on-PINN
  This is the code of my master thesis.
  ☆138Updated 3 months ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆192Updated 3 years ago
• alexpapados / Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
  Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…
  ☆180Updated 2 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆432Updated 2 weeks ago
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆207Updated 7 months ago
• li-Pingan / fourier-neural-operator
  ☆51Updated 2 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆317Updated 2 months ago
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆121Updated 3 years ago
• isds-neu / EQDiscovery
  Physics-informed learning of governing equations from scarce data
  ☆145Updated last year
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆149Updated 5 years ago
• Alexzihaohu / NSFnets
  PINN in solving Navier–Stokes equation
  ☆106Updated 5 years ago
• jdtoscano94 / Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_PIKANs_DeepONets
  Physics Informed Machine Learning Tutorials (Pytorch and Jax)
  ☆572Updated 4 months ago